Groundwater contamination is one of the major environmental risks related to landfills. Basic information about the behavior of pollutants in soil-groundwater is needed in order to evaluate the migration of leachate from landfills and to establish efficient groundwater monitoring systems. However, in practice, it is very difficult to get exact subsurface data. Thus, modeling the behavior of pollutants during the flow of leachate through soil is important in predicting the fate of the... Topics: Leachate Transport, Groundwater, Kalman Filtering, Particle Filtering
ClearOS is an operating system for your Server, Network, and Gateway systems. It is designed for homes, small to medium businesses, and distributed environments. Studies reveal the average employee spends 75 minutes per day using office computers for non-business related activity, costing employers thousands of dollars per year, per employee. If you are a business owner, government agency or academic institution, receiving blacklist updates may be required by law (eg. CIPA) in order to meet... Topics: cloud based content filtering, content filtering system
byAloıs Kirchnera, Frederic Dambreville, Jean Dezert, Florentin Smarandache
This paper defines and implements a non-Bayesian fusion rule for combining densities of probabilities estimated by local (non-linear) filters for tracking a moving target by passive sensors. This rule is the restriction to a strict probabilistic paradigm of the recent and efficient Proportional Conflict Redistribution rule no 5 (PCR5) developed in the DSmT frameworkfor fusing basic belief assignments. Topics: Filtering, Robust estimation, non-Bayesian fusion rule, PCR5, Particle filtering
Summary: In this Episode we will cover the Horror that is spam, and the great horror of filtering it.Source: http://hackerpublicradio.org/eps.php?id=1969 Spam Filtering isn't magic. A lot of work goes into helping keep your inbox clean, but there is still more hosting providers could do. Topics: Spam, Spam Filtering, Hosting Providers
ClearOS is an operating system for your Server, Network, and Gateway systems. It is designed for homes, small to medium businesses, and distributed environments. The Intrusion Detection app is the cornerstone of security for any size network. The app uses the highly regarded Snort engine to perform real-time traffic analysis and packet logging on Internet Protocol (IP) networks. The app can help identify, log and stop (using the IPS plugin) external attack vectors targeting the network... Topics: best intrusion detection system, web content filtering
In this paper, a simple and efficient filtered- X Least Mean Square (FXLMS) algorithm is used for the removal of different kinds of noises from the ECG signal. The adaptive filter essentially minimizes the mean-squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Different filter structures are presented to... Topics: adaptive filtering, artifact, ECG, FXLMS, noise cancelation.
ClearOS has had many accolades over the years. One of the most common is how it's versatility makes it an Indispensable Gateway Security & Network Solution that delivers a Next Generation Small Business Server superior to other solutions. The Intrusion Prevention System is a plugin to the Intrusion Detection system. The service dynamically creates firewall rules (iptables) to block IP packets if a packet stream matches a known attack signature. Website: https://www.clearos.com/ Address:... Topics: intrusion prevention system, content filtering system
In smart environments, a multi-robot system is difficult to achieve a high confidence level of information for reliable decision making. The pieces of sensed information obtained from a multi-robot system have different degrees of uncertainty. Topics: Dynamic Evidential Fusion Network, Temporal Belief Filtering
Posters from the The National Institute for Occupational Safety and Health (NIOSH), Personal Protective Technology (PPT) Program stakeholder meeting held on March 2 and 3, 2010. Topics: Protective Clothing, respirators, PPT, NPPTL, N95, Filtering Facepiece Respirators
The number of web services with functionality increases, the service users usually depends on web recommendation systems. Now a days the service users pay more importance on non functional properties which are also known as Quality of Service (QoS) while finding and selecting appropriate web services. Collaborative filtering approach predicts the QoS values of the web services effectively. Existing recommendation systems rarely consider the personalized influence of the users and services in... Topics: Web Service, Collaborative filtering, Location aware, QOS prediction.
In this paper, the segmentation of data in 2D and 3D by texture analysis using Fourier domain filtering is processed. The textural measurements are extracted from the Fourier domain of the data via sub-band filtering. Measurements are extracted by using a novel Bhattacharya- distance and a compact feature space is produced. Each dimension of the feature space is used to form the Quad tree. The classification is performed over the higher level of the tree using fractal measures and is projected... Topics: Filtering, Texture Segmentation, Multi- resolution, Digital Image Processing.
Session 1: Pushing the Limits: Designing the Next Generation of N95 Filtering Facepiece Respirators from the PPT Stakeholder Meeting, March 2 - 3, 2010 Topics: Protective Clothing, respirators, PPT, NPPTL, N95, Filtering Facepiece Respirators
PPT â Past, Present, Future - Roland Berry Ann and Maryann DâAlessandro presentation from the PPT Stakeholder Meeting, March 2 - 3, 2010. Topics: Protective Clothing, respirators, PPT, NPPTL, N95, Filtering Facepiece Respirators
The Fast Fourier transform (FFT) exist frequency domain spectral leakage, picket fence effect, as well as non-integer wave phenomenon. In this paper, a time-frequency filter is designed,which can detect the frequency, amplitude and phase of any order harmonics and interharmonics in signal by means of time domain convolution. Negative half-axis frequency is restrained by Hilbert transform. The theory analysis are carried to this method and the calculate formula are concluded. Experiment... Topics: Harmonic Analysis, Time-frequency Filtering, Convolution, Hilbert Transform, Frequency Fluctuation.
Presentations from the The National Institute for Occupational Safety and Health (NIOSH), Personal Protective Technology (PPT) Program stakeholder meeting held on March 2 and 3, 2010. Topics: protective clothing, respirators, PPT, NPPTL, N95, filtering facepiece respirators
This paper presents Adaptive Filtering and the least meansquare algorithm which is widely used in Adaptive system. Itrealized the model and simulation of system identificationBased on LMS algorithm by matlab and simulation. It can beseen that the adaptive FIR filter can simulation the unknownsystem well. Thus it can be got the system function of theunknown system through the parameters of the adaptive FIRfilter and It can be carried out the function of the samehardware reconfiguration of the... Topics: Adaptive Filtering, Least Mean Square Algorithm, System Identification
A weekly roundup of all things related to educational technology. This week we had a follow-up conversation on WordPress Multi User (WPMU) after our special on it last week. Then we went on to discuss the role of educational technology in learner voice and the age-old issue of filtering! Topics: edtech, educational technology, education, elearning, WPMU, learner voice, filtering, Internet